Speech is an effective medium to express emotions and attitude through language. Finding
the emotional content from a speech signal and identify the emotions from the speech …

While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …

This paper proposes an emotion recognition system using a deep learning approach from
emotional Big Data. The Big Data comprises of speech and video. In the proposed system, a …

Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

This paper aims at recognizing emotions for a text-independent and speaker-independent
emotion recognition system based on a novel classifier, which is a hybrid of a cascaded …

Human facial expressions change with different states of health; therefore, a facial-
expression recognition system can be beneficial to a healthcare framework. In this paper, a …

Patients are usually sensitive to physicians' attitude and behavior when physicians make
decisions in patients' consultations. However, the consequences of physicians' interactive …

Speech signals and glottal signals convey speakers' emotional state along with linguistic
information. To recognize speakers' emotions and respond to it expressively is very much …

Automatic recognition of emotion is important for facilitating seamless interactivity between a
human being and intelligent robot towards the full realization of a smart society. The …